This presentation examines the rise of agentic AI, where autonomous systems act proactively to achieve complex goals. It highlights the evolution from predictive to generative AI, the scaling of large language models, and the balance between open- and closed-source ecosystems. Core themes include sovereign AI, post-training trends, and data scarcity challenges. Applications span manufacturing, edge intelligence, and multi-agent frameworks, supported by technologies like IIoT, 5G, and Model Context Protocol, enabling scalable, intelligent, and resilient AI infrastructures.